The Ai mobility convergence major aims to foster talents equipped with convergence technologies of artificial intelligence, autonomous driving, and big data analysis to lead the AI mobility industry in the era of the sharing economy.
|Required Subject||Elective Subject|
|Artificial Intelligence Thinking and Problem Solving, Intelligent Robots and Practice, Movement System Engineering, Basics of AI and Data Analysis, and Deep Learning Analysis||Elective major subject by department|
(University Education Innovation Project for the 4th Industrial Revolution)Major future industries such as augmented/virtual reality, future automobiles, artificial intelligence, and big data are based on AI. However, the shortage of manpower in related AI fields has emerged as a major problem in industry and university education.
(A3+Convergence Curriculum Model) In the era of the sharing economy, AI mobility, which is the convergence of ICT technologies, is the core technology of the 4th industrial revolution: artificial intelligence, autonomous driving, and analytics for big data. Therefore, it is necessary to comprehensively educate these skills.
(STAR Core Competency) This specifies the talents for innovative leading universities into the STAR core competencies: creative problem solving, convergence knowledge, sense of community, communication skills and professional knowledge.
|STAR Core Competency||Definition||4C Connection|
|Creative problem solving||This is the ability to innovatively solve various problems based on creative ideas, which requires critical and comprehensive thinking to lead the field of AI mobility||Creativity, Critical thinking|
|Convergence knowledge||This is the ability to adapt to new industries through the convergence of various academic fields, which requires A3+ convergence ability in the field of AI mobility.||Creativity, Communication|
|Sense of community||This requires a spirit of mutual cooperation and service to society based on the ability to actively participate in the development of the community with the values and attitudes required as a member of the community.||Collaboration|
|Communication skills||This is the ability to effectively express the thoughts and feelings in various situations and to listen to and respect the opinions of others, which is required for active knowledge exchange in the era of the 4th industrial revolution.||Communication|
|Professional knowledge||This is the ability to analyze phenomenon objectively and logically with major knowledge and practical competency, which is required to implement an AI mobility platform centered on AI, autonomous driving, and analytics for big data in the field of AI mobility.||Critical thinking, Creativity|
University Education Innovation Project for the 4th Industrial Revolution: Major future industries such as augmented/virtual reality, future automobiles, artificial intelligence, and big data are based on AI. However, the shortage of manpower in related AI fields has emerged as a major problem in industry and university education.
Consistency and Suitability: The ‘A3+ Convergence Curriculum’ model organizes and shares the curriculum based on the STAR core competencies set according to the talents for universities and business groups and the STAR promotion strategy to realize them.
Expertise: The project group,which is composed of Department of AI Convergence, Department of Mechanical Engineering, and the Department of Statistics and Actuarial Science,secures expertise in the overall A3+ convergence education field.
Flexibility: Through the creation/reorganization of major courses in participating departments, we construct a professional curriculum that encompasses artificial intelligence, autonomous driving, and big data. We flexibly and systematically operate the curriculum and certification programs of department major, convergence major, and nano-degree to meet the needs of students and industries.
Sustainability: In accordance with our mid-to-long-term AI field nurturing and development plan, we established the Department of AI Convergence and the AI Mobility Convergence Major in 2021. We expect the improvement of our curriculum system through continuous and intensive investment in shared and convergence education between departments and education infrastructure in the field of AI mobility.
|Education Environment||Extracurricular Program||contents|
We hold a mobility competition in the FUN space to encourage students to improve their skills and motivate them through discussion.
We also hold AI contests, big data contests, and R/Python contests.
|Exhibitions and External Competitions||
We hold various mobility exhibitions and competitions in the Fun space to display the results of students’ project performance, such as the international automobile competition, international robot competition, and programming muscle camp.
|Professional Certification Acquisition Program||
We support students to acquire professional qualifications using the subjects offered in the convergence major, such as the big data analysis engineer, ADsP/ADP, the robot software development engineer, and the 3D printer development industry engineer.
|Mobility Startup Support Program||
We operate a program to discover and commercialize create business items in the mobility field, such as the AI startup contest and the industry-academic cooperation program.
|Industry Expert Seminar||
We encourage students’ spirit of challenge and revitalize their start-ups through the lectures and seminars of experts in related fields, such as the seminar inviting AI experts in spring and fall.
|Employment Competency Reinforcement Program||
We hold various employment competency reinforcement programs such as the employment and start-up concert.
|Excellent Student Selection Plan|
|Promotion of AI Mobility Specialized Curriculum||
We produce the promotional materials for the AI mobility innovation leading curriculum. We operate the website of the AI mobility business group. We operate the AI mobility innovation leading curriculum.
|Scholarship Application Based on Participation Assessment||
We provide to an average of 30 students per semester. We establish objective evaluation criteria for academic achievement, degree of participation in extracurricular activities, and participation in other promotion projects. We increase students applying for interdisciplinary majors and enhance their participation in the majors by providing scholarships through participation evaluation.
|Curricular and Extracurricular Support||
We support students to participate in various competitions organized by the AI Mobility Project Group and other external organizations. We provide customized mentoring for each student participating in the convergence major. We support convergence studies between participating departments. We open short-term job training courses for incumbents to students.
|Space and Facility Support||
We open to students the STAR space platform built by the project group. We provide various facilities and equipment to students to support their learning.
|Term||Department of Statistics and Actuarial Science||mechanical engineering||AI Convergence|
|2-1||Artificial Intelligence Thinking and Problem Solving|
|3-1||Mobile Measurement Engineering|
|3-2||Autonomous Driving Software|
|4-1||Deep Learning Analysis|
|4-2||Big Data Distributed Computing|
|Grade||1st semester||2nd semester|
|Distinction||Subject ID||Subject||Time||Credit||Department||Distinction||Subject ID||Subject||Time||Credit||Department|
|2||Required||21500690||Artificial Intelligence Thinking and Problem Solving||3||3||AI Convergence||Elective||21500310||Artificial Intelligence Introduction||3||3||AI Convergence|
|Elective||21506911||Data Structure||3||3||AI Convergence||Elective||21500140||Algorithm||3||3||AI Convergence|
|Elective||50102349||Computational Statistics1||3||3||Mechanical Engineering||Elective||21500145||Probability and Statistics||3||3||AI Convergence|
|Elective||21502362||Regression Analysis 1||3||3||Probability and Statistics||Elective||21504665||Computational Statistics 1||3||3||Probability and Statistics|
|Elective||21504427||Basic Deep Learning||3||3||Probability and Statistics|
|3||Required||21506886||Mobile Measurement Engineering||3||3||Mechanical Engineering||Required||21500536||Autonomous Driving Software||3||3||AI Convergence|
|Elective||New||Data Science||3||3||AI Convergence||Elective||New||Cloud Computing||3||3||AI Convergence|
|Elective||50102349||Advanced Engineering Mathematics 1||3||3||Mechanical Engineering||Elective||21500145||Probability and Statistics||3||3||AI Convergence|
|Elective||New||Robotics Introduction||3||3||AI Convergence||Elective||New||Computer Vision||3||3||AI Convergence|
|Elective||21506732||Mechanical Vibration Theory||3||3||Mechanical Engineering||Elective||21500304||Intelligent Robots and Practice||3||3||AI Convergence|
|Elective||21504101||Mechanical Vibration Theory||3||3||Mechanical Engineering||Elective||21500547||AI System||3||3||AI Convergence|
|Elective||21503745||Power System Engineering||3||3||Mechanical Engineering||Elective||21505584||Materials Engineering||3||3||Mechanical Engineering|
|Elective||21503540||Manufacturing Engineering||3||3||Mechanical Engineering||Elective||21505481||Simulation||3||3||Probability and Statistics|
|Elective||21504726||Computational Statistics 2||3||3||Probability and Statistics||Elective||21503469||Multivariate Analysis||3||3||Probability and Statistics|
|4||Required||21506877||Deep Learning Analysis||3||3||Probability and Statistics||Required||21500478||Big Data Distributed
|3||3||Probability and Statistics|
|Elective||21500548||Big Data Computing||3||3||AI Convergence||Elective||New||Big Data Distributed
|Elective||New||Deep Learning Programming
|3||3||AI Convergence||Elective||New||Natural Language Processing||3||3||AI Convergence|
|3||3||AI Convergence||Elective||New||Spatial Data Programming||3||3||AI Convergence|
|Elective||21503515||Categorical Data Analysis||3||3||Probability and Statistics||Elective||21505727||Robotics||3||3||Materials Engineering|
|Elective||21504109||Automotive Engineering||3||3||Materials Engineering|